Attributing offline conversions to online activity

What is this patent about?

’709 is related to the field of digital advertising and consumer behavior tracking. Specifically, it addresses the technical challenge of closing the loop between online ad impressions and real-world actions, such as visiting a retail store or making a purchase. Traditional systems struggle to link these environments because mobile apps often lack cookies and there is no native identifier that bridges a web browser’s history with a physical point-of-sale transaction.

The underlying idea behind ’709 is to use a mobile device as a persistent bridge between digital exposure and physical proximity. By deploying Bluetooth Low Energy (BLE) beacons at specific locations—such as store aisles or product displays—the system can detect when a user who was previously served a specific digital ad enters the physical vicinity of the advertised product. The invention moves beyond simple location tracking by analyzing signal characteristics to infer the quality of the user's real-world interaction.

The claims of ’709 focus on a method and system that correlates advertisement delivery data with beacon-detected proximity events within a specific viability window. The independent claims require not just detecting a signal, but calculating the user's proximity and duration of stay to categorize their physical behavior. This process transforms raw signal strength and time data into specific behavioral insights, such as whether a user merely walked by or actively engaged with a product.

In practice, the system utilizes a behavioral categorization engine that interprets the consistency and strength of the BLE signal. It distinguishes between five distinct states: browsing (walking by), gazing (stopping briefly), engaging (lingering near products), purchasing (completing a transaction via the beacon), and abandoning (leaving the range quickly). This allows the server to attribute a specific level of success to an online campaign based on the depth of the offline interaction.

This approach differs from prior solutions that rely on disparate third-party data or broad GPS coordinates, which lack the precision to identify interactions with specific products. By requiring the satisfaction of a temporal viability window and using signal-strength-based behavior modeling, the invention provides a direct, deterministic link between a digital impression and a physical conversion, rather than relying on probabilistic matching or general store-visit metrics.